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Software Engineer, Developer Tools, Silicon

Google

Google

Software Engineering
Bengaluru, Karnataka, India
Posted on Tuesday, May 23, 2023

Qualifications

Minimum qualifications:

  • Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 1 years of experience in a technical leadership role, overseeing projects.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Engineering, or related technical field.
  • Experience developing accessible technologies, architecture search and full stack development (front end and back end).
  • Experience in quantization of models, including QAT, PTQ.
  • Experience with low-level and low intrusiveness developer tooling concepts such as profiling, instrumentation, API tracing, hardware tracing.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Optimize Machine Learning models for Google Tensor and make the process repeatable and automated as much as possible.
  • Design and implement new ways to gather useful performance metrics from hardware and/or software stack.
  • Design and implement tools that can correlate performance data at a ML graph level and/or logical hardware level.
  • Show users how to use our tools to analyze, debug and improve latency, accuracy, and power through codelabs, documentation, and tutorials.
  • Propose new ways of authoring ML models that are optimized for inference hardware.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.